• Šifra predmeta:63835K
  • Kreditne točke:5
  • Semester: poletni
  • Vsebina

Strojno učenje za daljinsko zaznavanje

The course will combine two very complementary topics. On the one hand, we have machine learning, a methodological framework for building prediction models based on statistics of data. On the other hand, we have remote sensing, a prime example of which is Earth observation using a growing number of satellites. These satellites produce enormous quantities of sensory data that can only be analyzed using computers. Through individual research projects, the course will explore the opportunities and challenges of using machine learning methods on remote sensing data.

  • Študijski programi
  • Porazdelitev ur na semester
15
ur
predavanj
15
ur
avditornih vaj
20
ur
seminarskih vaj
  • Izvajalci
Nosilec predmeta
Prostor:R2.39
Drugo
Prostor:R2.17 - Kabinet